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| 基于网络社区模块结构的特征选择性能评价 | |
| 引用本文： | 岳训,迟忠先,莫宏伟,郝艳友.基于网络社区模块结构的特征选择性能评价[J].计算机工程,2007,33(12):16-18. |
| 作者姓名： | 岳训 迟忠先 莫宏伟 郝艳友 |
| 作者单位： | 1. 大连理工大学计算机科学工程系,大连,116024;山东农业大学信息科学与工程学院,泰安,271018 2. 大连理工大学计算机科学工程系,大连,116024 3. 哈尔滨工程大学自动化学院,哈尔滨,150001 |
| 摘 要： | 利用网络社区模块结构作为特征选择的度量指标，给出了一种基于全局拓扑结构的特征选择性能评价方法。对一种基于免疫学原理的数据压缩和特征提取模型——人工免疫网络进行了验证，通过对数据特征提取前的抗原数据网络和特征提取后的记忆网络的网络社区模块结构的对比，达到对人工免疫网络(aiNET)的特征提取性能评价的目的。实验结果证实了人工免疫网络模型可以保持网络拓扑结构上的稳定性，验证了利用网络社区结构作为特征选择度量的合理性。 |
| 关 键 词： | 特征选择性能评价 网络社区结构 人工免疫网络 |
| 文章编号： | 1000-3428（2007）12-0016-03 |
| 修稿时间： | 2006-06-27 |
Feature Selection Measurement Approach Based on Community |
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| YUE Xun,CHI Zhongxian,MO Hongwei,HAO Yanyou.Feature Selection Measurement Approach Based on Community[J].Computer Engineering,2007,33(12):16-18. | |
| Authors: | YUE Xun CHI Zhongxian MO Hongwei HAO Yanyou |
| Affiliation: | (1. Department of Computer Science & Engineering, Dalian University of Technology, Dalian 116024; 2. College of Information Sciences & Engineering, Shandong Agricultural University, Taian 271018; 3. Automation College, Harbin Engineering University, Harbin 150001) |
| Abstract: | Taking community structure as measurement index for feature selection, a new feature selection measure approach based on modularity coefficient community structure is proposed. Artificial immune network is a type of competitive learning algorithm which is capable of extracting relevant features contained in dataset. It uses the "internal image" memory network to eliminate data redundancy and feature extraction. The new approach is used to analyze the community structure between the input pattern (antigen) and memory network. Experiment study shows the newly approach is proved reasonable and viable. |
| Keywords: | Feature selection measurement Community structure Artificial immune network |
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